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Tag: AutoML

Pecan AI Leaps Over the Skills Gap to Enable Data Science On Demand

As the big data analytics train keeps rolling on, there are still kinks to work out when implementing it in the business world. Building and maintaining a big data infrastructure capable of quickly turning large data set Read more…

FeatureByte Raises $5.7M to Fix the Weakest Link in AI

FeatureByte, the developer of a feature engineering platform, has launched from stealth with a $5.7 million seed round. The Boston-based startup bills its SaaS solution as specifically made for data scientists to simplif Read more…

DataRobot Nabs $300M, Algorithmia

In a move to solidify its position in the emerging market for enterprise AI platforms, DataRobot today announced the completion of a $300 million Series G round of funding at a valuation of $6.3 billion. The Boston compa Read more…

Why Data Scientists and ML Engineers Shouldn’t Worry About the Rise of AutoML

Low-code and no-code development tools are becoming increasingly popular, and the pandemic only accelerated this trend. When we think of low-code or no-code development, we’re usually referring to tools that allow a no Read more…

AI: It’s Not Just For the Big FAANG Dogs Anymore

It’s been said that AI has a 1% problem, that only the biggest tech firms—the Facebooks, Amazons, Apples, Netflixes, and Googles, or FAANGs, of the world--have the resources required to pull it off.  But thanks to t Read more…

Databricks Unveil New Machine Learning Solution

Databricks today unveiled a new cloud-based machine learning offering that’s designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed to bridge the g Read more…

Alteryx Dips Analytics Tools Into Machine Learning Waters

Alteryx arguably is best known for its desktop-based, self-service analytics product, Designer, which is also regarded for its data blending and prep capabilities. Today at its Virtual Global Inspire conference, the comp Read more…

Qeexo Adds Support for Arm’s Edge Processor

Qeexo, the “tinyML” specialist, said its AutoML platform now supports the smallest Cortex processors from Arm Ltd., making it the first vendor to automate machine learning on the Arm processor used for edge computing Read more…

Low-Code Can Lower the Barrier to Entry for AI

Organizations that want to get started quickly with machine learning may be interested in investigating emerging low-code options for AI. While low-code techniques will never completely replace hand-coded systems, they c Read more…

Google Joins the MLOps Crusade

Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructur Read more…

Speech Recognition Gets an AutoML Training Tool

AutoML, the application of machine learning to create new automation tools, is branching out to new use cases, making itself useful for particularly tedious data science tasks when training speech recognition models. Among the latest attempts at automating the data science workflow is an AutoML tool from Deepgram, offering... Read more…

Kepler AutoML Targets Next-Gen Business Analysts

As more companies roll out digital infrastructure, they are ingesting greater volumes of data that can be used by business analysts to gauge customer intent and boost transactions. Complexity and lack of data scientists Read more…

Altair Shows Off Converged Analytics Lineup

If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietl Read more…

MindsDB, AutoML Startup, Gains Seed Funding

The maintainers of an open source framework for automating machine learning projects have raised its profile with a comparatively modest but strategic funding round led by an investor with ties to a string of emerging AI Read more…

What is Feature Engineering and Why Does It Need To Be Automated?

Artificial intelligence is becoming more ubiquitous and necessary these days. From preventing fraud, real-time anomaly detection to predicting customer churn, enterprise customers are finding new applications of machine Read more…

Machine Learning on the Edge, Hold the Code

Many companies are scrambling to find machine learning engineers who can build smart applications that run on edge devices, like mobile phones. One company that’s attacking the problem in a broad way is Qeexo, which se Read more…

On the Radar: Cortex Labs, RadicalBit, Qeexo

Welcome to “On the Radar,” a new Datanami feature that will showcase new companies and technologies that we think data practitioners may like to know about. In this week’s debut feature, we focus on three companies Read more…

Google Adds AutoML to Kaggle

Google has integrated its automated machine learning tools into Kaggle, the data science development site it acquired in 2017, with the goal of expanding access to the site’s more than 3.5 million users. Google has Read more…

What to Expect at Strata This Week

We knew that big data was also fast. But what we didn't fully grasp perhaps was just how fast the technology changes. This week's Strata Data Conference is setting up to be a prime example of the punctuated equilibrium w Read more…

AutoML Tools Emerge as Data Science Difference Makers

The days of handcrafted algorithms aren't quite over, but it's hard to dismiss to impact that automated machine learning (AutoML) is having on the data science field. As companies look to imbue intelligence into their pr Read more…

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